Data Engineer

SalmonManila, AR

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Overview

Schedule

Full-time

Career level

Senior-level

Remote

On-site

Job Description

Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines.

7M+ app downloads. 2M+ monthly active users. 7000+ partner stores. US$350M+ raised from top-tier investors.

Here, you get real ownership from day one, high standards, and direct communication. You'll work alongside a team that combines deep local knowledge and experience scaling regulated financial companies from scratch.

If you want to solve complex problems at scale and directly impact how millions of people access and manage money, come build with us.

Southeast Asia's fintech moment starts here.

About the role

You'll build and scale the data platform that powers decisions across Salmon - owning pipelines end to end so data flows reliably from source to insight.

What you'll do

Design and run batch and streaming pipelines on Databricks and Apache Spark over AWS, ingesting from databases, APIs, and event streams.
Shape our lakehouse architecture on S3 and Delta Lake, including medallion (Bronze / Silver / Gold) layering and storage optimization.
Work directly with analytics, engineering, and product teams to turn raw data into reliable, usable inputs for the business.

What you'll own

Build and maintain scalable ETL/ELT pipelines that are fault-tolerant, cost-optimized, and performant on AWS.
Optimize Spark jobs end to end - cluster sizing, caching, joins, shuffles, partitioning, and storage formats (Parquet, Delta).
Manage Databricks Workflows, jobs, and cluster configurations, and respond to failures and performance issues.
Implement data governance and access control with Unity Catalog across accounts and environments.
Protect data correctness and reliability across the platform.

What makes you a strong fit

Hands-on experience with Databricks and strong proficiency in Apache Spark (PySpark and/or Scala).
Strong Python for data engineering, plus SQL and Spark SQL for transformation and analytics.
Experience with Delta Lake and lakehouse architectures, including performance optimization.
Experience writing clean, testable, maintainable code with Git-based version control.
Ability to work independently and own pipelines end to end.

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FAQs About Data Engineer Jobs at Salmon

What is the work location for this position at Salmon?

This job at Salmon is located in Manila, AR, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.

What pay range can candidates expect for this role at Salmon?

Employer has not shared pay details for this role.

What employment applies to this position at Salmon?

Salmon lists this role as a Full-time position.

What experience level is required for this role at Salmon?

Salmon is looking for a candidate with "Senior-level" experience level.

What is the process to apply for this position at Salmon?

You can apply for this role at Salmon either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.